Machine Learning Engineer, Link
Core
Build and operate machine learning models and risk decisioning systems to detect fraud and abuse while maximizing authorization rates for the Link digital wallet.
Role type
Senior IC machine learning engineer (fraud and risk)
Builds
Link digital wallet, Instant Bank Payments, and ML-powered risk systems
Domain
Fintech, payments, fraud detection
Deliverable
production ML models
Required skills
Python, SQL, Spark, XGBoost, tree-based models, data pipelines, feature development, model evaluation, deployment, monitoring, statistics, experimentation
Preferred skills
fraud detection, real-time low-latency systems, payments/fintech domain knowledge, system design for model integration
Technologies
Python, SQL, Spark, XGBoost
Responsibilities
Build, train, evaluate, deploy, and own ML models for fraud detection; investigate emerging threats using large-scale datasets; design data pipelines and monitoring systems; collaborate with Engineering, Product, and Data Science to drive product outcomes.
Seniority
Senior, hands-on IC
